Adaptive Sparse Kernel Principal Component Analysis for Computation and Store Space Constrained-based Feature Extraction.
Xiaodan XieBohu LiXudong ChaiPublished in: J. Inf. Hiding Multim. Signal Process. (2015)
Keyphrases
- kernel principal component analysis
- feature extraction
- high dimensional
- discriminant analysis
- kernel pca
- preprocessing
- principal component analysis
- principal components
- low dimensional
- kernel function
- kernel fisher discriminant analysis
- face recognition
- kernel matrix
- kernel methods
- input space
- feature vectors
- gabor wavelets
- lower dimensional
- classification method
- feature space
- support vector machine svm
- pattern recognition
- image classification
- image processing
- support vector machine
- linear discriminant analysis
- graph kernels
- semi supervised